{
"cells": [
{
"cell_type": "markdown",
"id": "580531d1-6d4c-4e22-aaea-c38132a7da51",
"metadata": {},
"source": [
"# Shapley values - prediction of PFS for NSCLC patients with an aggregated radiomic model\n",
"\n",
"In this jupyter notebook we provide a short example for the use of Shapley values to explain aggregated radiomic models. We study the prediction of the progression-free survival (PFS) of metastatic non-small cell lung cancer (NSCLC) patients undergoing immunotherapy, using their baseline 18F-FDG PET images. To do so, we use a radiomic model that aggregates features extracted from all the lesions of the patient.\n",
"\n",
"**Note:** In particular, this notebook will illustrate how to use radshap with custom aggregation functions (i.e., different from the default aggregation functions implemented in radshap such as min, max, mean...)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "bcadc6b0-157c-44c6-b3f5-cacba95fc6e1",
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"\n",
"# Setup for local running - please delete this block\n",
"import sys\n",
"sys.path.append('C:\\\\Users\\\\ncaptier\\\\Documents\\\\GitHub\\\\radshap')\n",
"\n",
"from tqdm import tqdm\n",
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt \n",
"from scipy.spatial.distance import pdist\n",
"\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.pipeline import Pipeline\n",
"from sklearn.base import clone\n",
"from sklearn.model_selection import StratifiedKFold\n",
"\n",
"from lifelines import CoxPHFitter, KaplanMeierFitter\n",
"from sksurv.util import Surv\n",
"from sksurv.metrics import concordance_index_ipcw, cumulative_dynamic_auc\n",
"from sksurv.linear_model import CoxPHSurvivalAnalysis\n",
"\n",
"from radshap.shapley import Shapley\n",
"from radshap.plot import plot_pet"
]
},
{
"cell_type": "markdown",
"id": "1347c0ea-eff8-4c09-901a-38dc495975ca",
"metadata": {},
"source": [
"## 0. Load radiomic and clinical data"
]
},
{
"cell_type": "markdown",
"id": "092ce08e-73ae-4875-b2e9-8e91e4805a4f",
"metadata": {},
"source": [
"Our cohort gathers **115 NSCLC metastatic patients** with a baseline 18F-FDG PET scan (for the diagnosis of the metastatic disease) acquired before the beginning of their first line immunotherapy. All their metastases were segmented by a 12 years experienced nuclear medicine physician.\n",
"\n",
"**Note:** For each patient we collected their PFS as well as their height and weight at baseline."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0b91279c-9aa1-443f-9c12-9f4b58597596",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(10, 6))\n",
"\n",
"kmf = KaplanMeierFitter()\n",
"kmf.fit(df_clinicals[\"PFS.time\"], df_clinicals[\"PFS.event\"])\n",
"kmf.plot(ax=ax)\n",
"\n",
"sns.despine()\n",
"ax.yaxis.grid(color='gray', linestyle='dashed')\n",
"ax.xaxis.grid(color='gray', linestyle='dashed')\n",
"ax.xaxis.set_tick_params(labelsize=14)\n",
"ax.set_xlabel(\"days\", fontsize=14)\n",
"ax.yaxis.set_tick_params(labelsize=14)\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"id": "8ac77512-6afe-4aad-95d6-5314faf34056",
"metadata": {},
"source": [
"For this experiment, we processed the PET images and segmented lesions with 3 steps: \n",
"\n",
"1. We first resampled all images to a fixed 2x2x2 mm3 voxel size.\n",
"2. We applied an absolute threshold of 2.5 standardized uptake value (SUV) units, meaning that all voxel values less than 2.5 were excluded from the segmented tumor regions.\n",
"3. For all the remaining lesions we used pyradiomics to extract their volume as well as the coordinates of their center of mass."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "73b55bbe-1b5f-4db8-b902-32776e8cd537",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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"Empty DataFrame\n",
"Columns: [CenterOfMass_x, CenterOfMass_y, CenterOfMass_z, original_shape_VoxelVolume]\n",
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},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# The following dataframe df_radiomics contains the volume and the coordinates of the center of mass of each segmented lesion of each patient (i.e., one row per lesion).\n",
"\n",
"df_radiomics = pd.read_csv(\"..\\\\data\\\\data_allmeta_bis.csv\", index_col=[0, 1])\n",
"df_radiomics.head(0)"
]
},
{
"cell_type": "markdown",
"id": "8d37cd1b-2346-4038-a9ce-9d88ecae4cd6",
"metadata": {},
"source": [
"## 1. Compute standardized Dmax and TMTV\n",
"\n",
"In this tutorial, we will explore a simple aggregated model that combines two aggregated features: the total metabolic tumor volume (TMTV) and the standardized Dmax (i.e., the maximum Euclidean distance between two lesions divided by the body surface area). These features have already shown promising prognostic and predictive performance in NSCLC and other cancers, such as lymphoma.\n",
"\n",
"Obviously, such simple model could be explained by human intuition alone and radshap is not necessarily required here. However, the purpose of this example is to illustrate how to apply RadShap for survival tasks and also how to use custom aggregation functions with RadShap (i.e., a function to compute the TMTV and sDmax for each subset of lesions)."
]
},
{
"cell_type": "markdown",
"id": "a4f87425-2579-45f3-8bf2-4860aa770df1",
"metadata": {},
"source": [
"**Standardized Dmax**"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "cc7eacc4-bbdf-4214-a854-cfc69d1a7747",
"metadata": {},
"outputs": [],
"source": [
"# 1. Compute maximum euclidean distance between two lesions for each patient\n",
"def compute_Dmax(df):\n",
" temp = pdist(df)\n",
" if len(temp) > 0:\n",
" return temp.max()\n",
" else:\n",
" return 0\n",
"\n",
"dmax = df_radiomics.iloc[:, :3].groupby(level=0).apply(compute_Dmax)\n",
"\n",
"# 2. Standardize by the body surface area\n",
"temp = pd.concat([df_clinicals, dmax], axis=1, join='inner')\n",
"temp.rename(columns = {0: 'Dmax'}, inplace = True)\n",
"dmax = (temp['Dmax']/(np.sqrt((temp['Weight'])*(temp['Height'])/3600))).rename(\"sDmax\")"
]
},
{
"cell_type": "markdown",
"id": "d0c1eed7-86ec-4477-98d3-3c43c20bff99",
"metadata": {},
"source": [
"**Total Metabolic Tumor Volume (TMTV)**"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "fccb77dc-e9eb-4b8e-9fd7-b2984d95c231",
"metadata": {},
"outputs": [],
"source": [
"tmtv = df_radiomics['original_shape_VoxelVolume'].groupby(level=0).sum().rename(\"TMTV\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "67d09e8b-e93a-48b7-994e-e93469b49090",
"metadata": {},
"outputs": [
{
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" TMTV sDmax\n",
"Patient ID \n",
"patient_1 12.894632 103.954279\n",
"patient_10 4.976734 54.800191\n",
"patient_100 12.908975 78.014952\n",
"patient_101 12.060729 62.903636\n",
"patient_102 10.512628 246.422312"
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},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"df_agg = pd.concat([tmtv, dmax], axis=1)\n",
"\n",
"# we log-transform the TMTV to avoid linear model to deal with highly right skewed distributions\n",
"df_agg[\"TMTV\"] = np.log(df_agg[\"TMTV\"] + 1)\n",
"\n",
"df_agg.head(5)"
]
},
{
"cell_type": "markdown",
"id": "c8f3a98f-ed80-4703-a19f-2de5a72a5318",
"metadata": {},
"source": [
"## 2. PFS prediction with an aggregated model "
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "cc904290-cefc-491e-9bc0-7a452476b848",
"metadata": {},
"outputs": [],
"source": [
"X = df_agg.loc[df_clinicals.index].values\n",
"y = Surv.from_dataframe(event=\"PFS.event\", time=\"PFS.time\", data = df_clinicals)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4d70eeb2-2b88-4e8b-8cd9-f492997d5545",
"metadata": {},
"outputs": [],
"source": [
"# Aggregated model (scaling + Cox model)\n",
"model_agg = Pipeline(steps=[('scaling', StandardScaler()),\n",
" ('Cox', CoxPHSurvivalAnalysis())])"
]
},
{
"cell_type": "markdown",
"id": "7a57526a-f9ad-4942-8faa-b2762a0eb210",
"metadata": {},
"source": [
"### 2.1 Train and test Cox models with repeated cross-validation schemes\n",
"\n",
"Here we use a repeated stratified cross-validation scheme with 5 folds and 100 repeats to train and test our Cox model (combining TMTV and sDmax). To do so we first design a custom cross-validation function, **CensoredKFold**, to stratify folds with respect to the censorship rate."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "eea7997d-a454-4a3a-b1c7-9d55f48b468b",
"metadata": {},
"outputs": [],
"source": [
"class CensoredKFold(StratifiedKFold):\n",
" \n",
" def _iter_test_masks(self, X, y=None, groups=None):\n",
" return super()._iter_test_masks(X, y[\"PFS.event\"], groups)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "4ea9c0d8-30a5-4e88-9a8c-d2c0a779b97d",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:11<00:00, 8.91it/s]\n"
]
},
{
"data": {
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" pred fold PFS.time PFS.event repeat\n",
"Patient ID \n",
"patient_124 0.370520 0 275.0 True 0\n",
"patient_32 -0.036694 0 43.0 True 0\n",
"patient_128 0.473378 0 275.0 True 0\n",
"patient_50 0.350977 0 174.0 True 0\n",
"patient_76 -0.082603 0 160.0 True 0"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"preds = []\n",
"patient_indexes = df_clinicals.index\n",
"\n",
"for i in tqdm(range(100)):\n",
" cv = CensoredKFold(n_splits=5, shuffle=True, random_state=i)\n",
" predictions = []\n",
" \n",
" for k, (train, test) in enumerate(cv.split(np.zeros(len(y)), y)):\n",
" X_train, y_train, X_test, y_test = X[train, :], y[train], X[test, :], y[test]\n",
" \n",
" # Fit aggregative model\n",
" model = clone(model_agg).fit(X_train, y_train)\n",
" \n",
" # Collect predictions\n",
" temp_preds = pd.DataFrame(model.predict(X_test), columns = [\"pred\"], index = patient_indexes[test])\n",
" temp_preds['fold'] = k \n",
" temp_preds[\"PFS.time\"] = y_test[\"PFS.time\"]\n",
" temp_preds[\"PFS.event\"] = y_test[\"PFS.event\"]\n",
" predictions.append(temp_preds)\n",
" \n",
" df_preds = pd.concat(predictions, axis=0)\n",
" df_preds[\"repeat\"] = i\n",
" preds.append(df_preds)\n",
"\n",
"df_predictions = pd.concat(preds, axis=0)\n",
"df_predictions.head(5)"
]
},
{
"cell_type": "markdown",
"id": "bad1bd0d-f747-49ce-bca1-129726fafc2a",
"metadata": {},
"source": [
"### 2.2 Compute and display performance results\n",
"\n",
"For each of the 100 repeats with compute two performance metrics with the patient predicted risk scores collected within the different test sets of the cross-validation scheme:\n",
"* The Uno's concordance index\n",
"* The average time-dependent AUC (tAUC) over the observed time range\n",
"\n",
"**Note 1:** We refer the reader to [this tutorial](https://scikit-survival.readthedocs.io/en/stable/user_guide/evaluating-survival-models.html) for an interesting discussion about the evaluation of the performance of survival models."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "99007c2d-f67f-45f2-a30c-bfa77c6e70fe",
"metadata": {},
"outputs": [],
"source": [
"# Both Uno's Cindex and time-dependent AUC require estimating the censoring distribution (i.e., \"survival_train\" parameter). Here we use the whole data set to avoid\n",
"# dealing with unconsistent measures across folds.\n",
"\n",
"def _fun_Cindex(data):\n",
" \"\"\"\n",
" Compute Uno's Concordance index for the risk predictions collected on the test sets of\n",
" a cross-validation scheme.\n",
" \"\"\"\n",
" y_data = Surv.from_dataframe(event=\"PFS.event\", time=\"PFS.time\", data = data)\n",
" return concordance_index_ipcw(survival_train = y_data, survival_test = y_data, estimate = data[\"pred\"].values)[0]\n",
"\n",
"def _fun_AUC(data):\n",
" \"\"\"\n",
" Compute average time-dependent AUC for the risk predictions collected on the test sets of\n",
" a cross-validation scheme.\n",
" \"\"\"\n",
" y_data = Surv.from_dataframe(event=\"PFS.event\", time=\"PFS.time\", data = data)\n",
" times = np.percentile(y_data[\"PFS.time\"], np.linspace(5, 81, 15))\n",
" temp = cumulative_dynamic_auc(survival_train = y_data,\n",
" survival_test = y_data,\n",
" estimate = data[\"pred\"].values,\n",
" times = np.percentile(y_data[\"PFS.time\"], np.linspace(5, 81, 15)))[1]\n",
" return temp\n",
" \n",
"results_cind = df_predictions.groupby(\"repeat\").apply(_fun_Cindex).rename(\"Cindex\")\n",
"results_auc = df_predictions.groupby(\"repeat\").apply(_fun_AUC).rename(\"tAUC\")\n",
"\n",
"results = pd.concat([results_cind, results_auc], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "7e1025da-946f-4036-891f-0f06e3f2d5a6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cindex: mean = 0.613, std = 0.006\n",
"tAUC: mean = 0.653, std = 0.008\n"
]
}
],
"source": [
"# Mean performance across the 100 cross-validation schemes (+- standard deviation)\n",
"mean_perf = results.mean()\n",
"std_perf = results.std()\n",
"\n",
"print(\"Cindex: mean = \" + str(np.round(mean_perf.loc[\"Cindex\"], 3)) + \", std = \" + str(np.round(std_perf.loc[\"Cindex\"], 3)))\n",
"print(\"tAUC: mean = \" + str(np.round(mean_perf.loc[\"tAUC\"], 3)) + \", std = \" + str(np.round(std_perf.loc[\"tAUC\"], 3)))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "dff6703a-82ad-464e-8277-7e95a48def0a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Average value across 100 CV')"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(12, 9))\n",
"\n",
"sns.barplot(data = results.melt(), x=\"variable\", y=\"value\", ci=None, ax=ax)\n",
"\n",
"ax.errorbar(x=np.arange(2),\n",
" y=results.mean(axis=0).values,\n",
" yerr=results.std(axis=0).values,\n",
" fmt='none',\n",
" ecolor='k',\n",
" capsize=5,\n",
" elinewidth=1.5)\n",
" \n",
"ax.set_ylim(0.5, 0.685)\n",
"ax.set(xlabel=None, ylabel=None)\n",
"ax.set_axisbelow(True)\n",
"ax.yaxis.grid(color='gray', linestyle='dashed')\n",
"ax.tick_params(axis='x', labelsize=14)\n",
"ax.tick_params(axis='y', labelsize=14)\n",
"sns.despine()\n",
"ax.set_ylabel(\"Average value across 100 CV\", fontsize=14)"
]
},
{
"cell_type": "markdown",
"id": "cf0d8c5f-b8ce-4a74-bd22-2b17bb1560d7",
"metadata": {},
"source": [
"## 3. Interpretation of the aggregated model with Shapley values\n",
"\n",
"Here we use the **radshap package** to explain the predictions of the aggregated radiomic model (i.e., Cox model combining TMTV and standardize Dmax) and highlight the most impactful lesions for each patient.\n",
"\n",
"* We will first retrain the aggregated model on the whole dataset (i.e., 115 NSCLC patients)\n",
"* We will apply RadShap to explain the prediction made by this model for a patient of the cohort (i.e., computing the Shapley value associated with each segmented lesion).\n",
"\n",
"In particular, we will illustrate, here, how to define a custom aggregation function to compute the TMTV and standardized Dmax for every subset of segmented ROIs and use it with RadShap to explain our Cox model."
]
},
{
"cell_type": "markdown",
"id": "1e14d29d-bdd2-463e-b6a0-016a1c0bf051",
"metadata": {},
"source": [
"### 3.1 Train an aggregative model on the whole data set\n",
"\n",
"First, we train a Cox model with the whole dataset using the [lifelines Python package](https://lifelines.readthedocs.io/en/latest/). This package provides access to the *print_summary* function, which nicely displays the hazard ratios for both features, confidence intervals, and the p-values associated with the Wald test.\n",
"\n",
"**Note :** Please note that this step is optional and can be omitted. "
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "921d60ad-08c6-46d3-a753-8c58b3909524",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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model
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lifelines.CoxPHFitter
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partial log-likelihood
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time fit was run
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2024-04-25 09:09:13 UTC
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0.41
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"text/latex": [
"\\begin{tabular}{lrrrrrrrrrrr}\n",
"\\toprule\n",
"{} & coef & exp(coef) & se(coef) & coef lower 95\\% & coef upper 95\\% & exp(coef) lower 95\\% & exp(coef) upper 95\\% & cmp to & z & p & -log2(p) \\\\\n",
"covariate & & & & & & & & & & & \\\\\n",
"\\midrule\n",
"TMTV & 0.41 & 1.51 & 0.12 & 0.17 & 0.65 & 1.19 & 1.91 & 0.00 & 3.38 & 0.00 & 10.45 \\\\\n",
"sDmax & 0.20 & 1.22 & 0.11 & -0.01 & 0.41 & 0.99 & 1.50 & 0.00 & 1.87 & 0.06 & 4.01 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n"
],
"text/plain": [
"\n",
" duration col = 'PFS.time'\n",
" event col = 'PFS.event'\n",
" baseline estimation = breslow\n",
" number of observations = 115\n",
"number of events observed = 84\n",
" partial log-likelihood = -325.36\n",
" time fit was run = 2024-04-25 09:09:13 UTC\n",
"\n",
"---\n",
" coef exp(coef) se(coef) coef lower 95% coef upper 95% exp(coef) lower 95% exp(coef) upper 95%\n",
"covariate \n",
"TMTV 0.41 1.51 0.12 0.17 0.65 1.19 1.91\n",
"sDmax 0.20 1.22 0.11 -0.01 0.41 0.99 1.50\n",
"\n",
" cmp to z p -log2(p)\n",
"covariate \n",
"TMTV 0.00 3.38 <0.005 10.45\n",
"sDmax 0.00 1.87 0.06 4.01\n",
"---\n",
"Concordance = 0.63\n",
"Partial AIC = 654.72\n",
"log-likelihood ratio test = 16.76 on 2 df\n",
"-log2(p) of ll-ratio test = 12.09"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df= pd.concat([df_agg, df_clinicals[[\"PFS.time\", \"PFS.event\"]]], axis=1)\n",
"\n",
"# 1. Scaling\n",
"scaling = StandardScaler()\n",
"df.iloc[:, :-2] = scaling.fit_transform(df.iloc[:, :-2])\n",
"\n",
"# 2. Fit the Cox model\n",
"model_lifeline = CoxPHFitter()\n",
"model_lifeline.fit(df, \"PFS.time\", \"PFS.event\")\n",
"\n",
"model_lifeline.print_summary()"
]
},
{
"cell_type": "markdown",
"id": "adaa27a4-f9cc-4999-950d-dc93207b775a",
"metadata": {},
"source": [
"We now retrain a Cox model on the whole dataset using, this time, the [scikit-survival Python package](https://scikit-survival.readthedocs.io/en/stable/). Indeed, we found that **scikit-survival** and its compatibility with sklearn were easier to deal with here, compared to **lifelines**, particularly for creating pipelines and including the scaling step in the model."
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "19903404-97b2-4302-9959-5d2216166dbc",
"metadata": {},
"outputs": [],
"source": [
"model_all = clone(model_agg).fit(X, y)\n",
"\n",
"# Average prediction over the whole dataset\n",
"mean_preds = model_all.predict(X).mean()"
]
},
{
"cell_type": "markdown",
"id": "949a1f8c-2654-49af-9546-b1e5ac9e264b",
"metadata": {},
"source": [
"### 3.2 Compute Shapley values"
]
},
{
"cell_type": "markdown",
"id": "45729181-a555-4cbc-88ad-eaac8f6fadea",
"metadata": {},
"source": [
"**Define a custom aggregation function**\n",
"\n",
"In short, to compute the Shapley values, RadShap considers every possible subset of ROIs, recalculates the aggregated input, and predicts from this new input to assess whether the prediction changes. Thus, we need to provide RadShap with a function to compute the aggregated input for the model of interest using an arbitrary subset of ROIs.\n",
"\n",
"RadShap can automatically manage straightforward functions, such as considering the mean, maximum, or minimum values of radiomic features measured for different ROIs within an image. However, in this case, we need to specify our aggregation function, which involves defining a function that takes an array of size *n_ROIS x n_features* as input and returns an aggregated input corresponding to **(TMTV_subset, sDmax_subset)**."
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "25119a24-2a5d-432c-abe3-31f4540a6849",
"metadata": {},
"outputs": [],
"source": [
"patient = \"patient_79\"\n",
"\n",
"#Retrieve weight and height to standardize Dmax\n",
"weight, height = df_clinicals.loc[patient, 'Weight'], df_clinicals.loc[patient, 'Height']\n",
"\n",
"def agg_fun(X):\n",
" aggregated_features = np.zeros((1, 2))\n",
" \n",
" #1. Compute TMTV for the subset of ROIs\n",
" aggregated_features[0, 0] = np.log(np.sum(X[:, -1]) + 1)\n",
" \n",
" #2. Compute standardized Dmax for the subset of ROIs\n",
" temp = pdist(X[:, :3])\n",
" if len(temp) > 0:\n",
" aggregated_features[0,1] = temp.max()/(np.sqrt((weight)*(height)/3600))\n",
"\n",
" return aggregated_features"
]
},
{
"cell_type": "markdown",
"id": "fbe9080f-cde8-44b8-ab5c-4436ee920196",
"metadata": {},
"source": [
"We can now define the RadShap explainer, using the trained aggregated model as input, which uses TMTV and sDmax to make predictions, and the custom aggregation function defined above to compute TMTV and sDmax for every subset of ROIs.\n",
"\n",
"**Note:** RadShap also requires a value for a random prediction, i.e., when no ROIs are considered in the image. Here, we propose estimating such a random prediction by using the average predictions across the dataset. This strategy is notably used within the [SHAP Python package](https://shap.readthedocs.io/en/latest/index.html)."
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "c395fba4-bcbc-49b0-9777-be22ed16ebd2",
"metadata": {},
"outputs": [],
"source": [
"shap = Shapley(predictor = lambda x: model_all.predict(x),\n",
" aggregation = agg_fun,\n",
" empty_value=mean_preds)"
]
},
{
"cell_type": "markdown",
"id": "cab8bd87-fae6-495d-bbf1-add0c8d637bb",
"metadata": {},
"source": [
"We then retrieve the features associated with each lesion of the patient for whom we want to explain the prediction of the aggregated model. Here, the features correspond to the volume and the center of mass of each lesion, resulting in an input *x_explain* for the RadShap explainer of shape *n_lesions x 4*."
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "b22e6f11-d07f-4dfc-9bed-bd8f864ec73e",
"metadata": {},
"outputs": [],
"source": [
"x_explain = df_radiomics.loc[patient].values.astype(\"float\")\n",
"rois_names = list(df_radiomics.loc[patient].index)\n",
"\n",
"shap_values = shap.explain(x_explain)"
]
},
{
"cell_type": "markdown",
"id": "f228e43c-9a67-4926-9aa5-279ada0ef6d7",
"metadata": {},
"source": [
"Finally, we can visualize the computed Shapley values on the Maximum Intensity Projection (MIP) of the baseline PET image for the patient of interest, using a color scale. As expected, we do observe that, for this patient, the risk score predicted by the aggregated model, which uses both the TMTV and sDmax, is mainly impacted by large and distant lesions.\n",
"\n",
"**Note:** The color scale should be interpreted as follows, the more red a lesion is (i.e., its Shapley value), the more it increases the predicted risk compared to the average predicted risk measured on the whole cohort. Conversely, the more blue a lesion is, the more it decreases the predicted risk compared to the average risk."
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "f8eb26d7-a400-4709-9051-4ef4a6738c33",
"metadata": {
"tags": [
"nbsphinx-thumbnail"
]
},
"outputs": [
{
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",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"image_path = \"E:\\\\Images\\\\\" + patient + \"\\\\baseline_PET\\\\PET.nii.gz\"\n",
"mask_path = \"E:\\\\Images\\\\\" + patient + \"\\\\baseline_PET\\\\segmentations\\\\\"\n",
"\n",
"mask_paths = []\n",
"for name in df_radiomics.loc[patient].index:\n",
" mask_paths.append(mask_path + name + '.uint16.nii.gz')\n",
"\n",
"lim = np.round(np.max(np.abs(shap_values)), 2)\n",
"plot_pet(shap_values, image_path=image_path, masks_paths=mask_paths, cmap_lim = lim)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "57767f57-22df-4187-8860-d3415ac281a6",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Tags",
"kernelspec": {
"display_name": "Python [conda env:dicom_env]",
"language": "python",
"name": "conda-env-dicom_env-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}